#realtimebigdataanalytics

A recent study by Harvard Business Review revealed that 60% of enterprise business leaders believe real-time customer analytics is crucial to provide personalization at scale. According to the study, the number is expected to increase to 79% by 2020.

Learn how StreamAnalytix provides a practical and viable alternative to the complexities of building enterprise-grade Spark applications and you can build and run Apache Spark applications rapidly using StreamAnalytix.

StreamAnalytix provided this US based cable TV and telecom provider a real-time 360-degree view of its customers, enabling micro segmentation and targeting, dynamic marketing campaigns, and contextualized customer service for enhanced customer experience across touch points.

Anomaly detection is all about identifying outliners in a time series data using mathematical Models, analogizing it different influencing elements and delivering insights to business decisions makers.

Anomaly detection is all about identifying outliners in a time series data using mathematical Models, analogizing it different influencing elements and delivering insights to business decisions makers.

Data processing is a pivotal function to make use of innovative information technology (IT). The data dealt in the technology field are too big to handle them meticulously because there’s a chance of anomaly in real-time data, and this is a significant risk by which data can be lost.

Data is a necessary part of every company; its handling includes several processes. Analyzing a large volume of data isn't a work of some minutes or hours, but it is a matter of handling it analytically.

Data processing is a pivotal function to make use of innovative information technology (IT). The data dealt in the technology field are too big to handle them meticulously because there’s a chance of anomaly in real-time data, and this is a significant risk by which data can be lost.